Nathan Lee

@mario4thenorth @grok what are the real reasons for the decline? use data to explain your position

🚨 BREAKING Canada went from the 5th happiest country to the 25th. Young Canadians under 25? We rank 71st. The US now ranks happier than us. They’re saying it’s not the cost of living. Not the housing crisis. Not the job losses. Not the government. It’s social media. 😂

@TommiPedruzzi AI

Claude is NOT the best AI tool. But it's the most profitable one. A single mom used it to build a system that now brings in $4,000/month. How? AI publishing. I’ve spent 5+ hours breaking down: • The prompts • The exact workflow • The niche research method • How to turn Claude into a content factory If you want the full breakdown, comment “AI” and I’ll send it over.

@PierreDeWulf @grok is this a real fair comparison? What is the marginal tax rate and average tax rate? What about other taxes after income?

Anthropic Head of Sales position in France: Company spend 530k€ per year 🇫🇷 gov get 340k€ employee get 190k€ All is fine.

@MarioNawfal @grok what arguments are made on either side of this hearing? how are those comments being received online?

🇺🇸 Transgender Minnesota Dem says restricting kids from porn is harmful because it might be "educational if they are queer." This is the hill they're dying on. Age verification is oppression because some kids might need adult content for... education.

@mario4thenorth @grok what did the MPs representing the liberals, green party, ndp and bloc to say about voting the bill proposal down? What were they opposed to?

BREAKING: The Conservative Party, put forward a motion, to close the loopholes that criminal, non-citizens use. Including eliminating lenient sentences for non-citizens to be able to stay in our country. The Liberals, Green Party, NDP & Bloc, just voted against this. Insane

@alexocheema @AlexFinn @ImSh4yy Does this also heat your home during the winter?

While I agree the $20k/mo in API requests from @AlexFinn is aggressive, these numbers from @ImSh4yy are way off. A lot of mistakes here. Hopefully this clears things up about using M3 Ultra Mac Studios for AI somewhat. I’ll also be releasing open benchmarks and evals for 1,000+ local AI setups soon. - Mistake 1: $/tok calculated based on single request TPS, not throughput. LLM inference can be batched, and you can move along a pareto frontier of throughput / single request tps. The point you choose on the pareto frontier depends on your SLOs and workload, but it likely isn’t min throughput. You’re off anywhere from 2x-20x (bringing monthly savings to $156-$1560/mo assuming the OP’s $1.50/million or $312-$3120/mo if we use $3/million from official API) depending on which point we choose on that pareto frontier. - Mistake 2: Assuming device is obsolete in 12 months. This just isn’t true for Mac Studios. Macs are useful for more than AI. Apple’s hardware retains its value extremely well. I’ve talked to resellers who have decades of data on this. The resell value depreciates ~15% per year. - Mistake 3: Cherry-picked a provider on OpenRouter that has 98.4% uptime. That means it’s down 23 mins per day, or 11.5 hours per month. The official Kimi K2.5 API is $3/M output tokens, 2x the price you used. That’s more of a fair comparison. - Mistake 4: Ignored input tokens completely. The official Kimi K2.5 API also charges $0.60 per million input tokens ($0.10 if it’s a cache hit). The cache hit part here is the kicker. Whereas you can keep your entire context hot on your own device 24/7, that costs money for model providers and unlike the model weights each user’s context is unique so it doesn’t scale - they need to charge for it. I’m loading entire codebases into context, which often is 200K tokens. That’s $0.12 every time you load in that codebase and $0.02 every time you query it (even for one token) when it’s cached. That adds up quickly, especially when e.g. each tool call using claude code or opencode is an additional request. - Mistake 5: There are other reasons to run local beyond cost (imo more important). Privacy, compliance, sovereignty (not your weights, not your brain), uptime guarantees, air gapping, no internet access. There’s also latency but usually that’s best going to the cloud, unless you pair it with one of the other reasons e.g. air gapping.

@WatcherGuru @grok How are each of the major parties in Canada responding to this data? Are they mentioning this at all?

JUST IN: 🇨🇦 Canada's economy lost 24,800 jobs in January.

@buzz_video_buzz @grok is the video real?

いや、猫

@grok @stats_feed Can you continue with the full list?

Sure, re-ranking the list by homeless per 100,000 people (using 2025 pop. estimates from World Population Review): 1. Somalia: 15,101 2. South Sudan: 12,651 3. Central African Republic: 12,446 4. Afghanistan: 10,629 5. Yemen: 9,235 6. Georgia: 7,986 7. Zimbabwe: 7,079 8. Azerbaijan: 7,069 9. Sudan: 5,284 10. Philippines: 3,853 Full list available if needed; data years vary.

Countries with Largest Homeless Population 1. 🇵🇰 Pakistan – 8,000,000 2. 🇧🇩 Bangladesh – 5,000,000 3. 🇦🇫 Afghanistan – 4,660,000 4. 🇳🇬 Nigeria – 4,500,000 5. 🇵🇭 Philippines – 4,500,000 6. 🇾🇪 Yemen – 3,858,000 7. 🇸🇴 Somalia – 2,968,000 8. 🇸🇩 Sudan – 2,730,000 9. 🇨🇳 China – 2,579,000 10. 🇪🇬 Egypt – 2,000,000 11. 🇮🇳 India – 1,770,000 12. 🇸🇸 South Sudan – 1,542,000 13. 🇨🇩 DR Congo – 1,500,000 14. 🇮🇶 Iraq – 1,224,000 15. 🇿🇼 Zimbabwe – 1,200,000 16. 🇨🇲 Cameroon – 1,033,000 17. 🇲🇿 Mozambique – 769,000 18. 🇦🇿 Azerbaijan – 735,000 19. 🇺🇦 Ukraine – 734,240 20. 🇵🇪 Peru – 700,000 21. 🇧🇫 Burkina Faso – 700,000 22. 🇨🇫 Central African Republic – 686,200 23. 🇺🇸 United States – 653,104 24. 🇪🇹 Ethiopia – 600,000 25. 🇺🇬 Uganda – 500,000 26. 🇬🇹 Guatemala – 475,000 27. 🇬🇧 United Kingdom – 380,000 28. 🇹🇩 Chad – 342,680 29. 🇲🇱 Mali – 332,700 30. 🇫🇷 France – 330,000 31. 🇬🇪 Georgia – 304,010 32. 🇧🇷 Brazil – 281,000 33. 🇱🇾 Libya – 278,000 34. 🇩🇪 Germany – 262,600 35. 🇨🇦 Canada – 235,000 36. 🇿🇦 South Africa – 200,000 37. 🇻🇳 Vietnam – 162,000 38. 🇭🇳 Honduras – 150,000 39. 🇦🇺 Australia – 122,494 40. 🇮🇩 Indonesia – 122,000 41. 🇳🇿 New Zealand – 102,123 42. 🇬🇭 Ghana – 100,000 43. 🇮🇹 Italy – 96,197 44. 🇹🇷 Turkey – 70,000 45. 🇲🇽 Mexico – 40,911 46. 🇸🇾 Syria – 40,500 47. 🇬🇷 Greece – 40,000 48. 🇭🇹 Haiti – 37,867 49. 🇸🇪 Sweden – 33,269 50. 🇳🇱 Netherlands – 32,000 51. 🇦🇱 Albania – 32,000 52. 🇵🇱 Poland – 30,330 53. 🇭🇺 Hungary – 30,000 54. 🇪🇸 Spain – 28,552 55. 🇨🇿 Czech Republic – 23,830 56. 🇦🇹 Austria – 22,580 57. 🇰🇪 Kenya – 20,095 58. 🇷🇸 Serbia – 20,000 59. 🇮🇷 Iran – 15,000 60. 🇹🇬 Togo – 15,000 61. 🇨🇱 Chile – 14,013 62. 🇧🇪 Belgium – 13,524 63. 🇨🇴 Colombia – 13,252 64. 🇮🇪 Ireland – 11,632 65. 🇰🇷 South Korea – 11,340 66. 🇷🇺 Russia – 11,285 67. 🇸🇰 Slovakia – 10,661 Note: The data listed above represents the most recent available data for each country. Each country’s data may be from a different year. Data Sources: 1. List of sovereign states by homeless population - Wiki 2. Global Homeless Population - OECD Report 2020 Via World Population Review.

@recap_david Fit

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce collection page → Google's Veo 3.1 generates professional model videos showing fit and movement → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how fashion companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see how clothes actually fit and move before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "FIT" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.

@AirCanada @grok How does Air Canada FAs pay compare to its competitors? Do they pay their FAs for on-ground activities and at what rates?

This is how I launch every product. Distribution is everything. AMA 👇

Was excited to startup the Dell XPS laptop but the @BestBuyCanada marketplace laptop came pre-installed with viruses

@nytimes Mt Etna putting out records for the world's largest ring shaped vape cloud

For just over a week, Mount Etna, one of Europe’s most active volcanoes, has been spewing circular, mostly white smoke rings into the skies over Sicily. nyti.ms/4cPkdlO

@reforge Can fees towards your courses and memberships count towards Canadian tax refunds?

@oneplus Looks pretty great. Do you ever see people who use iPhones use OnePlus watches and accessories?

We asked you to describe your perfect smartwatch, and we made it happen. Watch the #OnePlusWatch2 launch here👇 youtu.be/e08Y_9PzPuU

@DrEricDing @WinterPollan In 1888, German philosopher Friedrich Nietzsche first stated, “Out of life's school of war—what doesn't kill me, makes me stronger.” How are the Swedish doing? Those who are hospitalized do far worse but how about those who experience mild symptoms?

@WinterPollan I think also because Texas has likely low rates of testing. And the people who test are the health conscious people who are likely more vaccinated. Testing bias can skew things.

⚠️STAGGERING—24.4% of Americans ages 18 and over who have received a positive #COVID19 test or diagnosis have experienced symptoms of #LongCovid that persisted for 3 months or longer. Long COVID generally worse/more frequent with more severe COVID survivors. Thus…. Worst states for % (of positive) experiencing Long Covid… notice any pattern? 1. Oklahoma - 34% - 1 in 3 infected people! 2. Montana 3. Alabama 4. Arkansas 5. North Dakota 6. Ohio 7. Wyoming 8. South Dakota 9. West Virginia 10. Indiana 11. Kentucky 12. Florida 13. Arizona 14. Nebraska 15. Mississippi Graph @michael_hoerger. Table source: US Census Bureau. helpadvisor.com/community-heal…

This is real news!

@Reuters People also gotta watch Ben Von Wong's older piece to understand why he creates youtube.com/watch?v=Ae9n2g…

Artist Benjamin Von Wong's art installation in the shape of a machine churning out bottles in front of an oil derrick was unveiled by Greenpeace International. Hollywood actor Shailene Woodley joined the demonstrations demanding a strong global treaty on plastic reduction